Machine Learning and Artificial Intelligence

In my research, I'm interested in developing probabilistic machine learning tools and apply them to climate-related problems. 

More specifically, my current research is motivated by the following questions:

(1) What will be the temperature at any specific location in 2050 (or any other mid-long term forecast)? 

(2)  How can we reason about temperatures and their associated uncertainties when we can barely say what will be the temperatures next week?

In my research I aim to use probabilistic machine learning tools to study risk from future climate extremes.

I am supervised by Dr Carl Henrik Ek and Dr Emily Shuckburgh, and am a member of the AI4ER Centre for Doctoral Training.